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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Thu, 13 Dec 2007 15:33:39 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/14/t1197599712q4yk76n052env38.htm/, Retrieved Thu, 02 May 2024 16:35:37 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3759, Retrieved Thu, 02 May 2024 16:35:37 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

ACF Genotsmiddelen

Estimated Impact

196

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [(Partial) Autocorrelation Function] [ACF Genotsmiddelen] [2007-12-13 22:33:39] [c9d8ee5895a833fb052e96406e7c5875] [Current]

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Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3759&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3759&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3759&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	11.8322	0
1	0.194734	2.3041	0.011344
2	-0.060454	-0.7153	0.762192
3	0.127289	1.5061	0.067146
4	-0.027527	-0.3257	0.627435
5	-0.209694	-2.4811	0.99286
6	-0.027976	-0.331	0.629435
7	0.089588	1.06	0.145481
8	-0.084832	-1.0037	0.841382
9	0.033197	0.3928	0.347535
10	0.200754	2.3754	0.009444
11	0.20379	2.4113	0.008597
12	-0.009513	-0.1126	0.544728
13	0.001843	0.0218	0.491317
14	0.007347	0.0869	0.465425
15	-0.056113	-0.6639	0.746089
16	-0.078157	-0.9248	0.82166
17	-0.031211	-0.3693	0.643768
18	0.013203	0.1562	0.438041
19	-0.026977	-0.3192	0.624973
20	0.071744	0.8489	0.198696
21	0.039679	0.4695	0.319724
22	-0.011423	-0.1352	0.553659
23	-0.011871	-0.1405	0.555751
24	0.060976	0.7215	0.23591
25	-0.001765	-0.0209	0.508316
26	-0.030169	-0.357	0.639173
27	0.057625	0.6818	0.248236
28	0.005729	0.0678	0.473029
29	-0.003425	-0.0405	0.516132
30	0.089298	1.0566	0.146258
31	0.055158	0.6526	0.257529
32	-0.050766	-0.6007	0.725486
33	-0.006067	-0.0718	0.528562
34	-0.023644	-0.2798	0.609965
35	-0.044744	-0.5294	0.701323
36	0.013978	0.1654	0.434436
37	0.018751	0.2219	0.412369
38	0.017248	0.2041	0.419292
39	0.063348	0.7495	0.227392
40	0.086007	1.0177	0.1553
41	-0.08973	-1.0617	0.854899
42	-0.161935	-1.916	0.971301
43	-0.127952	-1.5139	0.933853
44	-0.089616	-1.0604	0.854595
45	-0.014011	-0.1658	0.565714
46	0.071654	0.8478	0.198993
47	0.01585	0.1875	0.425756

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 11.8322 & 0 \tabularnewline
1 & 0.194734 & 2.3041 & 0.011344 \tabularnewline
2 & -0.060454 & -0.7153 & 0.762192 \tabularnewline
3 & 0.127289 & 1.5061 & 0.067146 \tabularnewline
4 & -0.027527 & -0.3257 & 0.627435 \tabularnewline
5 & -0.209694 & -2.4811 & 0.99286 \tabularnewline
6 & -0.027976 & -0.331 & 0.629435 \tabularnewline
7 & 0.089588 & 1.06 & 0.145481 \tabularnewline
8 & -0.084832 & -1.0037 & 0.841382 \tabularnewline
9 & 0.033197 & 0.3928 & 0.347535 \tabularnewline
10 & 0.200754 & 2.3754 & 0.009444 \tabularnewline
11 & 0.20379 & 2.4113 & 0.008597 \tabularnewline
12 & -0.009513 & -0.1126 & 0.544728 \tabularnewline
13 & 0.001843 & 0.0218 & 0.491317 \tabularnewline
14 & 0.007347 & 0.0869 & 0.465425 \tabularnewline
15 & -0.056113 & -0.6639 & 0.746089 \tabularnewline
16 & -0.078157 & -0.9248 & 0.82166 \tabularnewline
17 & -0.031211 & -0.3693 & 0.643768 \tabularnewline
18 & 0.013203 & 0.1562 & 0.438041 \tabularnewline
19 & -0.026977 & -0.3192 & 0.624973 \tabularnewline
20 & 0.071744 & 0.8489 & 0.198696 \tabularnewline
21 & 0.039679 & 0.4695 & 0.319724 \tabularnewline
22 & -0.011423 & -0.1352 & 0.553659 \tabularnewline
23 & -0.011871 & -0.1405 & 0.555751 \tabularnewline
24 & 0.060976 & 0.7215 & 0.23591 \tabularnewline
25 & -0.001765 & -0.0209 & 0.508316 \tabularnewline
26 & -0.030169 & -0.357 & 0.639173 \tabularnewline
27 & 0.057625 & 0.6818 & 0.248236 \tabularnewline
28 & 0.005729 & 0.0678 & 0.473029 \tabularnewline
29 & -0.003425 & -0.0405 & 0.516132 \tabularnewline
30 & 0.089298 & 1.0566 & 0.146258 \tabularnewline
31 & 0.055158 & 0.6526 & 0.257529 \tabularnewline
32 & -0.050766 & -0.6007 & 0.725486 \tabularnewline
33 & -0.006067 & -0.0718 & 0.528562 \tabularnewline
34 & -0.023644 & -0.2798 & 0.609965 \tabularnewline
35 & -0.044744 & -0.5294 & 0.701323 \tabularnewline
36 & 0.013978 & 0.1654 & 0.434436 \tabularnewline
37 & 0.018751 & 0.2219 & 0.412369 \tabularnewline
38 & 0.017248 & 0.2041 & 0.419292 \tabularnewline
39 & 0.063348 & 0.7495 & 0.227392 \tabularnewline
40 & 0.086007 & 1.0177 & 0.1553 \tabularnewline
41 & -0.08973 & -1.0617 & 0.854899 \tabularnewline
42 & -0.161935 & -1.916 & 0.971301 \tabularnewline
43 & -0.127952 & -1.5139 & 0.933853 \tabularnewline
44 & -0.089616 & -1.0604 & 0.854595 \tabularnewline
45 & -0.014011 & -0.1658 & 0.565714 \tabularnewline
46 & 0.071654 & 0.8478 & 0.198993 \tabularnewline
47 & 0.01585 & 0.1875 & 0.425756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3759&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]11.8322[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.194734[/C][C]2.3041[/C][C]0.011344[/C][/ROW]
[ROW][C]2[/C][C]-0.060454[/C][C]-0.7153[/C][C]0.762192[/C][/ROW]
[ROW][C]3[/C][C]0.127289[/C][C]1.5061[/C][C]0.067146[/C][/ROW]
[ROW][C]4[/C][C]-0.027527[/C][C]-0.3257[/C][C]0.627435[/C][/ROW]
[ROW][C]5[/C][C]-0.209694[/C][C]-2.4811[/C][C]0.99286[/C][/ROW]
[ROW][C]6[/C][C]-0.027976[/C][C]-0.331[/C][C]0.629435[/C][/ROW]
[ROW][C]7[/C][C]0.089588[/C][C]1.06[/C][C]0.145481[/C][/ROW]
[ROW][C]8[/C][C]-0.084832[/C][C]-1.0037[/C][C]0.841382[/C][/ROW]
[ROW][C]9[/C][C]0.033197[/C][C]0.3928[/C][C]0.347535[/C][/ROW]
[ROW][C]10[/C][C]0.200754[/C][C]2.3754[/C][C]0.009444[/C][/ROW]
[ROW][C]11[/C][C]0.20379[/C][C]2.4113[/C][C]0.008597[/C][/ROW]
[ROW][C]12[/C][C]-0.009513[/C][C]-0.1126[/C][C]0.544728[/C][/ROW]
[ROW][C]13[/C][C]0.001843[/C][C]0.0218[/C][C]0.491317[/C][/ROW]
[ROW][C]14[/C][C]0.007347[/C][C]0.0869[/C][C]0.465425[/C][/ROW]
[ROW][C]15[/C][C]-0.056113[/C][C]-0.6639[/C][C]0.746089[/C][/ROW]
[ROW][C]16[/C][C]-0.078157[/C][C]-0.9248[/C][C]0.82166[/C][/ROW]
[ROW][C]17[/C][C]-0.031211[/C][C]-0.3693[/C][C]0.643768[/C][/ROW]
[ROW][C]18[/C][C]0.013203[/C][C]0.1562[/C][C]0.438041[/C][/ROW]
[ROW][C]19[/C][C]-0.026977[/C][C]-0.3192[/C][C]0.624973[/C][/ROW]
[ROW][C]20[/C][C]0.071744[/C][C]0.8489[/C][C]0.198696[/C][/ROW]
[ROW][C]21[/C][C]0.039679[/C][C]0.4695[/C][C]0.319724[/C][/ROW]
[ROW][C]22[/C][C]-0.011423[/C][C]-0.1352[/C][C]0.553659[/C][/ROW]
[ROW][C]23[/C][C]-0.011871[/C][C]-0.1405[/C][C]0.555751[/C][/ROW]
[ROW][C]24[/C][C]0.060976[/C][C]0.7215[/C][C]0.23591[/C][/ROW]
[ROW][C]25[/C][C]-0.001765[/C][C]-0.0209[/C][C]0.508316[/C][/ROW]
[ROW][C]26[/C][C]-0.030169[/C][C]-0.357[/C][C]0.639173[/C][/ROW]
[ROW][C]27[/C][C]0.057625[/C][C]0.6818[/C][C]0.248236[/C][/ROW]
[ROW][C]28[/C][C]0.005729[/C][C]0.0678[/C][C]0.473029[/C][/ROW]
[ROW][C]29[/C][C]-0.003425[/C][C]-0.0405[/C][C]0.516132[/C][/ROW]
[ROW][C]30[/C][C]0.089298[/C][C]1.0566[/C][C]0.146258[/C][/ROW]
[ROW][C]31[/C][C]0.055158[/C][C]0.6526[/C][C]0.257529[/C][/ROW]
[ROW][C]32[/C][C]-0.050766[/C][C]-0.6007[/C][C]0.725486[/C][/ROW]
[ROW][C]33[/C][C]-0.006067[/C][C]-0.0718[/C][C]0.528562[/C][/ROW]
[ROW][C]34[/C][C]-0.023644[/C][C]-0.2798[/C][C]0.609965[/C][/ROW]
[ROW][C]35[/C][C]-0.044744[/C][C]-0.5294[/C][C]0.701323[/C][/ROW]
[ROW][C]36[/C][C]0.013978[/C][C]0.1654[/C][C]0.434436[/C][/ROW]
[ROW][C]37[/C][C]0.018751[/C][C]0.2219[/C][C]0.412369[/C][/ROW]
[ROW][C]38[/C][C]0.017248[/C][C]0.2041[/C][C]0.419292[/C][/ROW]
[ROW][C]39[/C][C]0.063348[/C][C]0.7495[/C][C]0.227392[/C][/ROW]
[ROW][C]40[/C][C]0.086007[/C][C]1.0177[/C][C]0.1553[/C][/ROW]
[ROW][C]41[/C][C]-0.08973[/C][C]-1.0617[/C][C]0.854899[/C][/ROW]
[ROW][C]42[/C][C]-0.161935[/C][C]-1.916[/C][C]0.971301[/C][/ROW]
[ROW][C]43[/C][C]-0.127952[/C][C]-1.5139[/C][C]0.933853[/C][/ROW]
[ROW][C]44[/C][C]-0.089616[/C][C]-1.0604[/C][C]0.854595[/C][/ROW]
[ROW][C]45[/C][C]-0.014011[/C][C]-0.1658[/C][C]0.565714[/C][/ROW]
[ROW][C]46[/C][C]0.071654[/C][C]0.8478[/C][C]0.198993[/C][/ROW]
[ROW][C]47[/C][C]0.01585[/C][C]0.1875[/C][C]0.425756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3759&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3759&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
0	1	11.8322	0
1	0.194734	2.3041	0.011344
2	-0.060454	-0.7153	0.762192
3	0.127289	1.5061	0.067146
4	-0.027527	-0.3257	0.627435
5	-0.209694	-2.4811	0.99286
6	-0.027976	-0.331	0.629435
7	0.089588	1.06	0.145481
8	-0.084832	-1.0037	0.841382
9	0.033197	0.3928	0.347535
10	0.200754	2.3754	0.009444
11	0.20379	2.4113	0.008597
12	-0.009513	-0.1126	0.544728
13	0.001843	0.0218	0.491317
14	0.007347	0.0869	0.465425
15	-0.056113	-0.6639	0.746089
16	-0.078157	-0.9248	0.82166
17	-0.031211	-0.3693	0.643768
18	0.013203	0.1562	0.438041
19	-0.026977	-0.3192	0.624973
20	0.071744	0.8489	0.198696
21	0.039679	0.4695	0.319724
22	-0.011423	-0.1352	0.553659
23	-0.011871	-0.1405	0.555751
24	0.060976	0.7215	0.23591
25	-0.001765	-0.0209	0.508316
26	-0.030169	-0.357	0.639173
27	0.057625	0.6818	0.248236
28	0.005729	0.0678	0.473029
29	-0.003425	-0.0405	0.516132
30	0.089298	1.0566	0.146258
31	0.055158	0.6526	0.257529
32	-0.050766	-0.6007	0.725486
33	-0.006067	-0.0718	0.528562
34	-0.023644	-0.2798	0.609965
35	-0.044744	-0.5294	0.701323
36	0.013978	0.1654	0.434436
37	0.018751	0.2219	0.412369
38	0.017248	0.2041	0.419292
39	0.063348	0.7495	0.227392
40	0.086007	1.0177	0.1553
41	-0.08973	-1.0617	0.854899
42	-0.161935	-1.916	0.971301
43	-0.127952	-1.5139	0.933853
44	-0.089616	-1.0604	0.854595
45	-0.014011	-0.1658	0.565714
46	0.071654	0.8478	0.198993
47	0.01585	0.1875	0.425756

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.194734	2.3041	0.011344
1	-0.102252	-1.2099	0.885816
2	0.16825	1.9908	0.024227
3	-0.10612	-1.2556	0.894328
4	-0.165106	-1.9536	0.973627
5	0.027281	0.3228	0.373668
6	0.076276	0.9025	0.184169
7	-0.078435	-0.9281	0.822512
8	0.076778	0.9085	0.1826
9	0.117954	1.3957	0.082514
10	0.193146	2.2853	0.011898
11	-0.067552	-0.7993	0.787262
12	-0.02271	-0.2687	0.605724
13	-0.027436	-0.3246	0.627026
14	0.045884	0.5429	0.294029
15	-0.035979	-0.4257	0.664515
16	-0.044166	-0.5226	0.698953
17	0.009659	0.1143	0.454585
18	0.003941	0.0466	0.481437
19	0.048798	0.5774	0.282303
20	-0.073762	-0.8728	0.807855
21	-0.035767	-0.4232	0.663601
22	0.011589	0.1371	0.445566
23	0.086702	1.0259	0.15336
24	-0.014325	-0.1695	0.567175
25	-0.006806	-0.0805	0.532033
26	0.06027	0.7131	0.238477
27	0.016933	0.2004	0.420747
28	0.016765	0.1984	0.421525
29	0.062049	0.7342	0.232036
30	-0.00877	-0.1038	0.541249
31	-0.00305	-0.0361	0.514369
32	-0.006389	-0.0756	0.530074
33	-0.065266	-0.7722	0.779361
34	-0.01069	-0.1265	0.550235
35	0.033919	0.4013	0.344391
36	-0.013004	-0.1539	0.561032
37	0.004276	0.0506	0.47986
38	0.051624	0.6108	0.271153
39	0.041568	0.4918	0.311801
40	-0.146016	-1.7277	0.956875
41	-0.157678	-1.8657	0.96791
42	-0.093099	-1.1016	0.863729
43	0.011573	0.1369	0.445641
44	0.075173	0.8895	0.187643
45	0.052059	0.616	0.269457
46	-0.068429	-0.8097	0.790248
47	-0.057459	-0.6799	0.751145

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.194734 & 2.3041 & 0.011344 \tabularnewline
1 & -0.102252 & -1.2099 & 0.885816 \tabularnewline
2 & 0.16825 & 1.9908 & 0.024227 \tabularnewline
3 & -0.10612 & -1.2556 & 0.894328 \tabularnewline
4 & -0.165106 & -1.9536 & 0.973627 \tabularnewline
5 & 0.027281 & 0.3228 & 0.373668 \tabularnewline
6 & 0.076276 & 0.9025 & 0.184169 \tabularnewline
7 & -0.078435 & -0.9281 & 0.822512 \tabularnewline
8 & 0.076778 & 0.9085 & 0.1826 \tabularnewline
9 & 0.117954 & 1.3957 & 0.082514 \tabularnewline
10 & 0.193146 & 2.2853 & 0.011898 \tabularnewline
11 & -0.067552 & -0.7993 & 0.787262 \tabularnewline
12 & -0.02271 & -0.2687 & 0.605724 \tabularnewline
13 & -0.027436 & -0.3246 & 0.627026 \tabularnewline
14 & 0.045884 & 0.5429 & 0.294029 \tabularnewline
15 & -0.035979 & -0.4257 & 0.664515 \tabularnewline
16 & -0.044166 & -0.5226 & 0.698953 \tabularnewline
17 & 0.009659 & 0.1143 & 0.454585 \tabularnewline
18 & 0.003941 & 0.0466 & 0.481437 \tabularnewline
19 & 0.048798 & 0.5774 & 0.282303 \tabularnewline
20 & -0.073762 & -0.8728 & 0.807855 \tabularnewline
21 & -0.035767 & -0.4232 & 0.663601 \tabularnewline
22 & 0.011589 & 0.1371 & 0.445566 \tabularnewline
23 & 0.086702 & 1.0259 & 0.15336 \tabularnewline
24 & -0.014325 & -0.1695 & 0.567175 \tabularnewline
25 & -0.006806 & -0.0805 & 0.532033 \tabularnewline
26 & 0.06027 & 0.7131 & 0.238477 \tabularnewline
27 & 0.016933 & 0.2004 & 0.420747 \tabularnewline
28 & 0.016765 & 0.1984 & 0.421525 \tabularnewline
29 & 0.062049 & 0.7342 & 0.232036 \tabularnewline
30 & -0.00877 & -0.1038 & 0.541249 \tabularnewline
31 & -0.00305 & -0.0361 & 0.514369 \tabularnewline
32 & -0.006389 & -0.0756 & 0.530074 \tabularnewline
33 & -0.065266 & -0.7722 & 0.779361 \tabularnewline
34 & -0.01069 & -0.1265 & 0.550235 \tabularnewline
35 & 0.033919 & 0.4013 & 0.344391 \tabularnewline
36 & -0.013004 & -0.1539 & 0.561032 \tabularnewline
37 & 0.004276 & 0.0506 & 0.47986 \tabularnewline
38 & 0.051624 & 0.6108 & 0.271153 \tabularnewline
39 & 0.041568 & 0.4918 & 0.311801 \tabularnewline
40 & -0.146016 & -1.7277 & 0.956875 \tabularnewline
41 & -0.157678 & -1.8657 & 0.96791 \tabularnewline
42 & -0.093099 & -1.1016 & 0.863729 \tabularnewline
43 & 0.011573 & 0.1369 & 0.445641 \tabularnewline
44 & 0.075173 & 0.8895 & 0.187643 \tabularnewline
45 & 0.052059 & 0.616 & 0.269457 \tabularnewline
46 & -0.068429 & -0.8097 & 0.790248 \tabularnewline
47 & -0.057459 & -0.6799 & 0.751145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3759&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]0.194734[/C][C]2.3041[/C][C]0.011344[/C][/ROW]
[ROW][C]1[/C][C]-0.102252[/C][C]-1.2099[/C][C]0.885816[/C][/ROW]
[ROW][C]2[/C][C]0.16825[/C][C]1.9908[/C][C]0.024227[/C][/ROW]
[ROW][C]3[/C][C]-0.10612[/C][C]-1.2556[/C][C]0.894328[/C][/ROW]
[ROW][C]4[/C][C]-0.165106[/C][C]-1.9536[/C][C]0.973627[/C][/ROW]
[ROW][C]5[/C][C]0.027281[/C][C]0.3228[/C][C]0.373668[/C][/ROW]
[ROW][C]6[/C][C]0.076276[/C][C]0.9025[/C][C]0.184169[/C][/ROW]
[ROW][C]7[/C][C]-0.078435[/C][C]-0.9281[/C][C]0.822512[/C][/ROW]
[ROW][C]8[/C][C]0.076778[/C][C]0.9085[/C][C]0.1826[/C][/ROW]
[ROW][C]9[/C][C]0.117954[/C][C]1.3957[/C][C]0.082514[/C][/ROW]
[ROW][C]10[/C][C]0.193146[/C][C]2.2853[/C][C]0.011898[/C][/ROW]
[ROW][C]11[/C][C]-0.067552[/C][C]-0.7993[/C][C]0.787262[/C][/ROW]
[ROW][C]12[/C][C]-0.02271[/C][C]-0.2687[/C][C]0.605724[/C][/ROW]
[ROW][C]13[/C][C]-0.027436[/C][C]-0.3246[/C][C]0.627026[/C][/ROW]
[ROW][C]14[/C][C]0.045884[/C][C]0.5429[/C][C]0.294029[/C][/ROW]
[ROW][C]15[/C][C]-0.035979[/C][C]-0.4257[/C][C]0.664515[/C][/ROW]
[ROW][C]16[/C][C]-0.044166[/C][C]-0.5226[/C][C]0.698953[/C][/ROW]
[ROW][C]17[/C][C]0.009659[/C][C]0.1143[/C][C]0.454585[/C][/ROW]
[ROW][C]18[/C][C]0.003941[/C][C]0.0466[/C][C]0.481437[/C][/ROW]
[ROW][C]19[/C][C]0.048798[/C][C]0.5774[/C][C]0.282303[/C][/ROW]
[ROW][C]20[/C][C]-0.073762[/C][C]-0.8728[/C][C]0.807855[/C][/ROW]
[ROW][C]21[/C][C]-0.035767[/C][C]-0.4232[/C][C]0.663601[/C][/ROW]
[ROW][C]22[/C][C]0.011589[/C][C]0.1371[/C][C]0.445566[/C][/ROW]
[ROW][C]23[/C][C]0.086702[/C][C]1.0259[/C][C]0.15336[/C][/ROW]
[ROW][C]24[/C][C]-0.014325[/C][C]-0.1695[/C][C]0.567175[/C][/ROW]
[ROW][C]25[/C][C]-0.006806[/C][C]-0.0805[/C][C]0.532033[/C][/ROW]
[ROW][C]26[/C][C]0.06027[/C][C]0.7131[/C][C]0.238477[/C][/ROW]
[ROW][C]27[/C][C]0.016933[/C][C]0.2004[/C][C]0.420747[/C][/ROW]
[ROW][C]28[/C][C]0.016765[/C][C]0.1984[/C][C]0.421525[/C][/ROW]
[ROW][C]29[/C][C]0.062049[/C][C]0.7342[/C][C]0.232036[/C][/ROW]
[ROW][C]30[/C][C]-0.00877[/C][C]-0.1038[/C][C]0.541249[/C][/ROW]
[ROW][C]31[/C][C]-0.00305[/C][C]-0.0361[/C][C]0.514369[/C][/ROW]
[ROW][C]32[/C][C]-0.006389[/C][C]-0.0756[/C][C]0.530074[/C][/ROW]
[ROW][C]33[/C][C]-0.065266[/C][C]-0.7722[/C][C]0.779361[/C][/ROW]
[ROW][C]34[/C][C]-0.01069[/C][C]-0.1265[/C][C]0.550235[/C][/ROW]
[ROW][C]35[/C][C]0.033919[/C][C]0.4013[/C][C]0.344391[/C][/ROW]
[ROW][C]36[/C][C]-0.013004[/C][C]-0.1539[/C][C]0.561032[/C][/ROW]
[ROW][C]37[/C][C]0.004276[/C][C]0.0506[/C][C]0.47986[/C][/ROW]
[ROW][C]38[/C][C]0.051624[/C][C]0.6108[/C][C]0.271153[/C][/ROW]
[ROW][C]39[/C][C]0.041568[/C][C]0.4918[/C][C]0.311801[/C][/ROW]
[ROW][C]40[/C][C]-0.146016[/C][C]-1.7277[/C][C]0.956875[/C][/ROW]
[ROW][C]41[/C][C]-0.157678[/C][C]-1.8657[/C][C]0.96791[/C][/ROW]
[ROW][C]42[/C][C]-0.093099[/C][C]-1.1016[/C][C]0.863729[/C][/ROW]
[ROW][C]43[/C][C]0.011573[/C][C]0.1369[/C][C]0.445641[/C][/ROW]
[ROW][C]44[/C][C]0.075173[/C][C]0.8895[/C][C]0.187643[/C][/ROW]
[ROW][C]45[/C][C]0.052059[/C][C]0.616[/C][C]0.269457[/C][/ROW]
[ROW][C]46[/C][C]-0.068429[/C][C]-0.8097[/C][C]0.790248[/C][/ROW]
[ROW][C]47[/C][C]-0.057459[/C][C]-0.6799[/C][C]0.751145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3759&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3759&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
0	0.194734	2.3041	0.011344
1	-0.102252	-1.2099	0.885816
2	0.16825	1.9908	0.024227
3	-0.10612	-1.2556	0.894328
4	-0.165106	-1.9536	0.973627
5	0.027281	0.3228	0.373668
6	0.076276	0.9025	0.184169
7	-0.078435	-0.9281	0.822512
8	0.076778	0.9085	0.1826
9	0.117954	1.3957	0.082514
10	0.193146	2.2853	0.011898
11	-0.067552	-0.7993	0.787262
12	-0.02271	-0.2687	0.605724
13	-0.027436	-0.3246	0.627026
14	0.045884	0.5429	0.294029
15	-0.035979	-0.4257	0.664515
16	-0.044166	-0.5226	0.698953
17	0.009659	0.1143	0.454585
18	0.003941	0.0466	0.481437
19	0.048798	0.5774	0.282303
20	-0.073762	-0.8728	0.807855
21	-0.035767	-0.4232	0.663601
22	0.011589	0.1371	0.445566
23	0.086702	1.0259	0.15336
24	-0.014325	-0.1695	0.567175
25	-0.006806	-0.0805	0.532033
26	0.06027	0.7131	0.238477
27	0.016933	0.2004	0.420747
28	0.016765	0.1984	0.421525
29	0.062049	0.7342	0.232036
30	-0.00877	-0.1038	0.541249
31	-0.00305	-0.0361	0.514369
32	-0.006389	-0.0756	0.530074
33	-0.065266	-0.7722	0.779361
34	-0.01069	-0.1265	0.550235
35	0.033919	0.4013	0.344391
36	-0.013004	-0.1539	0.561032
37	0.004276	0.0506	0.47986
38	0.051624	0.6108	0.271153
39	0.041568	0.4918	0.311801
40	-0.146016	-1.7277	0.956875
41	-0.157678	-1.8657	0.96791
42	-0.093099	-1.1016	0.863729
43	0.011573	0.1369	0.445641
44	0.075173	0.8895	0.187643
45	0.052059	0.616	0.269457
46	-0.068429	-0.8097	0.790248
47	-0.057459	-0.6799	0.751145

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 0.1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 0.1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;

R code (references can be found in the software module):

if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code